Word Frequency List 60000 English.xlsx
5. Create a new DataFrame from numpy.ma.array of the word frequency dictionary entries for each student and add the counts to the new DataFrame df_new. Finally, write a function that takes a DataFrame as input and returns a dictionary that contains the most frequent words.
Using numpy.ma.array, we can create a dataframe for each student and then easily count the occurrences of each word. In the next assignment, we will learn to combine these count arrays for a given group in the DataFrame, aggregate them, and then turn them into dictionary keys:
=RANDBETWEEN(vname)
where vname is a variable with a value that is static. This way the variable vname wont recalculate if you recalculate the sheet. word frequency list 60000 English.xlsx
There are other advantages to using static cell references, if you want to be flexible in certain cases. For example, you might want to use the last name of an SPSS file or a comma-separated list of words in your research. But using such static cell references is not always an option, for reasons described here.
First of all, if you have a list that you need to use as a constant, like the list of HS students in Canada, you can import the list of names from another workbook and make them static.
Another common scenario where you cannot make a list static is that of word frequencies. For example, suppose you have 3,000 word frequencies and your sample sizes are n1, n2, and n3. If you use the method described above, you will end up with a list that contains 3,000 values, one value for each unique word, even if the SS for each word is very small.
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